usl.solve.nls

This function solves a USL model using non linear regression with least
squares. It uses the function <code><a href="/link/nls?package=usl&version=3.0.3" data-mini-rdoc="usl::nls">nls</a></code> with the "<code>port</code>"
algorithm to perform the calculation. All restrictions of the algorithm
apply.

internal

The Universal Scalability Law (Gunther 2007)
<doi:10.1007/978-3-540-31010-5> is a model to predict hardware and
software scalability. It uses system capacity as a function of load to
forecast the scalability for the system.

Stefan Moeding

Analyze System Scalability with the Universal Scalability Law

Neil J. Gunther

usl.solve.nls function

<dl><dt>model</dt>
<dd>A data frame with two columns containing the values of the
predictor variable in the first column and the values of the response
variable in the second column.</dd></dl>

Arguments

This function solves a USL model using non linear regression with least
squares. It uses the function <code><a href='https://rdrr.io/r/stats/nls.html'>nls</a></code> with the "<code>port</code>"
algorithm to perform the calculation. All restrictions of the algorithm
apply.

Solve a USL model using non linear regression — usl.solve.nls

<dl>

<dt>model</dt>
<dd>A data frame with two columns containing the values of the
predictor variable in the first column and the values of the response
variable in the second column.</dd>

</dl>

usl.solve.nls: Solve a USL model using non linear regression

Description

Usage

Value

Arguments

See Also